specific method · filed under inference & serving
Four-Over-Six
Chooses between the M=4 and M=6 weight grids per block to set FP4 weight scales.
Also called Four-Over-Six FP4 weight scale selection, Four-Over-Six scale selection method, Four-Over-Six weight scaling.
- sources
- 2
- model
- 1
- lab adopt it
- 1
- strongest
- used
How sources treat it
One count per evidence span, weakest treatment to strongest.
used 3
Documented in
Evidence
3 spans quoted from the sources, strongest treatment first.
we selected Four-Over-Six for setting the FP4 routed-expert weight scales
usedpost trainingin Nemotron 3 UltraNVIDIA
Four-Over-Six selects between the 𝑀 = 4 and 𝑀 = 6 weight grids per block, using the option that minimizes reconstruction error.
usedpost trainingin Nemotron 3 UltraNVIDIA
we selected Four-Over-Six for setting the FP4 routed-expert weight scales
usedpost trainingin Nemotron 3 UltraNVIDIA
Filed alongside
Other methods under inference & serving :: inference quantization.
FP8 KV-cache quantizationFP8FP4 KV-cache quantizationNVFP4 quantizationMXFP4 weight quantizationPost-training quantizationQuantizationBlock-scaled INT8 quantization with stochastic roundingFP8 E4M3 quantizationGGUFMax-based scalingMSE-based scalingMXFP8 activation quantizationNVFP4 KV-cache quantizationNVFP4 ModelOpt re-quantizationSSM cache quantizationAWQ INT4 weight quantization (W4A16)BF16 inferenceBlock-wise E4M3 FP8 weight quantizationChannel-wise quantizationDynamic activation scalingEmbedding and KV-cache quantizationEmpirical bits-per-element budget selectionFine-grained FP8 quantization